Výsledky vyhľadávania - "MapReduce algorithms"

  1. 1

    Efficient deterministic MapReduce algorithms for parallelizable problems Autor Frei, Fabian, Wada, Koichi

    ISSN: 0743-7315
    Vydavateľské údaje: Elsevier Inc 01.07.2023
    “… of how the computational power of MapReduce algorithms compares to that of combinational Boolean circuits commonly used for parallel computations…”
    Získať plný text
    Journal Article
  2. 2

    MapReduce algorithms for robust center-based clustering in doubling metrics Autor Dandolo, Enrico, Mazzetto, Alessio, Pietracaprina, Andrea, Pucci, Geppino

    ISSN: 0743-7315
    Vydavateľské údaje: Elsevier Inc 01.12.2024
    “…Clustering is a pivotal primitive for unsupervised learning and data analysis. A popular variant is the (k,ℓ)-clustering problem, where, given a pointset P…”
    Získať plný text
    Journal Article
  3. 3

    Efficient MapReduce algorithms for triangle listing in billion-scale graphs Autor Zhu, Yuanyuan, Zhang, Hao, Qin, Lu, Cheng, Hong

    ISSN: 0926-8782, 1573-7578
    Vydavateľské údaje: New York Springer US 01.06.2017
    “…This paper addresses the classical triangle listing problem, which aims at enumerating all the tuples of three vertices connected with each other by edges…”
    Získať plný text
    Journal Article
  4. 4

    MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach Autor Cervantes-Cervantes, Miguel, Du, Zongxuan, Byron, Kevin, Turki, Turki, Abduallah, Yasser, Wang, Jason T. L.

    ISSN: 2314-6133, 2314-6141, 2314-6141
    Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
    Vydané v BioMed research international (01.01.2017)
    “…Gene regulation is a series of processes that control gene expression and its extent. The connections among genes and their regulatory molecules, usually…”
    Získať plný text
    Journal Article
  5. 5

    Using Performance Measurements to Improve MapReduce Algorithms Autor Plantenga, Todd D., Choe, Yung Ryn, Yoshimura, Ann

    ISSN: 1877-0509, 1877-0509
    Vydavateľské údaje: Elsevier B.V 2012
    Vydané v Procedia computer science (2012)
    “…The Hadoop MapReduce software environment is used for parallel processing of distributively stored data. Data mining algorithms of increasing sophistication…”
    Získať plný text
    Journal Article
  6. 6

    MapReduce algorithms for efficient generation of CPS models from large historical data sets Autor Windmann, Stefan, Niggemann, Oliver

    ISSN: 1946-0740
    Vydavateľské údaje: IEEE 01.09.2015
    “…This paper addresses the efficient generation of models for cyber-physical systems from large historical data sets. A cyber-physical system (CPS) is a system…”
    Získať plný text
    Konferenčný príspevok..
  7. 7

    Comparative Analysis of MPI and MapReduce Algorithms for Efficient Distributed Table Joins Autor Adi, Ninad

    ISSN: 3048-460X, 3048-460X
    Vydavateľské údaje: 30.09.2025
    “…This paper presents a comparative performance analysis of distributed table join algorithms using the MPI4PY library and the MapReduce framework. Two MPI-based…”
    Získať plný text
    Journal Article
  8. 8

    Extending Standard MapReduce Algorithms Autor Hashem, Hadi, Ranc, Daniel

    Vydavateľské údaje: IEEE 01.04.2016
    “…The information rate nowadays is expanding very quickly and contains complex and heterogeneous data types (text, images, videos, GPS data, purchase…”
    Získať plný text
    Konferenčný príspevok..
  9. 9

    BigFCM: Fast, precise and scalable FCM on hadoop Autor Ghadiri, Nasser, Ghaffari, Meysam, Nikbakht, Mohammad Amin

    ISSN: 0167-739X, 1872-7115
    Vydavateľské údaje: Elsevier B.V 01.12.2017
    Vydané v Future generation computer systems (01.12.2017)
    “…Clustering plays an important role in mining big data both as a modeling technique and a preprocessing step in many data mining process implementations. Fuzzy…”
    Získať plný text
    Journal Article
  10. 10

    Security and privacy aspects in MapReduce on clouds: A survey Autor Derbeko, Philip, Dolev, Shlomi, Gudes, Ehud, Sharma, Shantanu

    ISSN: 1574-0137, 1876-7745
    Vydavateľské údaje: Elsevier Inc 01.05.2016
    Vydané v Computer science review (01.05.2016)
    “…MapReduce is a programming system for distributed processing of large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid…”
    Získať plný text
    Journal Article
  11. 11

    Efficient Processing of Skyline Queries Using MapReduce Autor Park, Yoonjae, Min, Jun-Ki, Shim, Kyuseok

    ISSN: 1041-4347, 1558-2191
    Vydavateľské údaje: New York IEEE 01.05.2017
    “…The skyline operator has attracted considerable attention recently due to its broad applications. However, computing a skyline is challenging today since we…”
    Získať plný text
    Journal Article
  12. 12

    Efficient Distributed k-Clique Mining for Large Networks Using MapReduce Autor Shahrivari, Saeed, Jalili, Saeed

    ISSN: 1041-4347, 1558-2191
    Vydavateľské údaje: New York IEEE 01.03.2021
    “…Mining cliques of a network is an important problem that has many applications in different fields like social networks, bioinformatics, and web analysis. In…”
    Získať plný text
    Journal Article
  13. 13

    Submodularity of Distributed Join Computation Autor Li, Rundong, Riedewald, Mirek, Deng, Xinyan

    ISSN: 0730-8078
    Vydavateľské údaje: United States 01.06.2018
    “…We study distributed equi-join computation in the presence of join-attribute skew, which causes load imbalance. Skew can be addressed by more fine-grained…”
    Zistit podrobnosti o prístupe
    Journal Article
  14. 14

    Algorithms for processing the group K nearest-neighbor query on distributed frameworks Autor Moutafis, Panagiotis, García-García, Francisco, Mavrommatis, George, Vassilakopoulos, Michael, Corral, Antonio, Iribarne, Luis

    ISSN: 0926-8782, 1573-7578
    Vydavateľské údaje: New York Springer US 01.09.2021
    “… In previous work, we presented the first MapReduce algorithm, consisting of alternating local and parallel phases, which can be used to effectively process the G K NN query when the Query fits…”
    Získať plný text
    Journal Article
  15. 15

    MapReduce Algorithms for GIS Polygonal Overlay Processing Autor Puri, Satish, Agarwal, Dinesh, Xi He, Prasad, Sushil K.

    Vydavateľské údaje: IEEE 01.05.2013
    “…Polygon overlay is one of the complex operations in computational geometry. It is applied in many fields such as Geographic Information Systems (GIS), computer…”
    Získať plný text
    Konferenčný príspevok..
  16. 16

    AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs Autor Zhang, Ruisi, Javaheripi, Mojan, Ghodsi, Zahra, Bleiweiss, Amit, Koushanfar, Farinaz

    Vydavateľské údaje: IEEE 09.07.2023
    “…Distributed GNN training on contemporary massive and densely connected graphs requires information aggregation from all neighboring nodes, which leads to an…”
    Získať plný text
    Konferenčný príspevok..
  17. 17

    MapReduce Algorithms for Processing Universal Quantifier Queries Autor Habib, Wafaa M.A., Mokhtar, Hoda M.O., El Sharkawi, Mohamed E.

    ISSN: 2159-6182
    Vydavateľské údaje: IEEE 01.06.2014
    “…Although quantification queries are important for querying sets and databases, nevertheless, they haven't yet been directly supported by the MapReduce…”
    Získať plný text
    Konferenčný príspevok..
  18. 18

    IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation Autor Chen, Yi, Liu, Ning, Ren, Ao, Yang, Tao, Liu, Duo

    Vydavateľské údaje: IEEE 09.07.2023
    “…Data-free knowledge distillation (DFKD) explores training a compact student network only by a pre-trained teacher without real data. Prevailing DFKD methods…”
    Získať plný text
    Konferenčný príspevok..
  19. 19

    An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures Autor Kathiravelu, Pradeeban, Veiga, Luis

    Vydavateľské údaje: IEEE 01.12.2014
    “…Scalability and performance are crucial for simulations as much as accuracy is. Due to the limited availability and access to the variety of resources, cloud…”
    Získať plný text
    Konferenčný príspevok..
  20. 20

    CAF: Core to core Communication Acceleration Framework Autor Yipeng Wang, Ren Wang, Herdrich, Andrew, Tsai, James, Solihin, Yan

    Vydavateľské údaje: ACM 01.09.2016
    “…As the number of cores in a multicore system increases, core-to-core (C2C) communication is increasingly limiting the performance scaling of workloads that…”
    Získať plný text
    Konferenčný príspevok..